1. 5.2 Day One Probability Rules

2. Learning Targets 1.I can describe a probability model for a chance process. 2.I can use basic probability rules, including the complement rule and the addition rule for mutually exclusive events.

3. Definitions 1.Sample Space: The sample space S of a chance process is the set of all possible outcomes. 2.Probability Model: A probability model is a description of some chance process that consists of two parts: a sample space S and a probability for each outcome. 3.Event: An event is any collection of outcomes from some chance process. That is, an event is a subset of the sample space. Events are usually designated by capital letters, like a, B, C, and so on. 4.Mutually Exclusive (Disjoint): Two events are mutually exclusive (disjoint) if they have no outcomes in common and so can never occur together.

4. Basic Probability Rules